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Plasma protein absolute quantification by nano-LC Q-TOF UDMS(E) for clinical biomarker verification
BACKGROUND AND AIMS: Proteome-based biomarker studies are targeting proteins that could serve as diagnostic, prognosis, and prediction molecules. In the clinical routine, immunoassays are currently used for the absolute quantification of such biomarkers, with the major limitation that only one molec...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iuliu Hatieganu University of Medicine and Pharmacy
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683834/ https://www.ncbi.nlm.nih.gov/pubmed/29151793 http://dx.doi.org/10.15386/cjmed-880 |
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author | ILIES, MARIA IUGA, CRISTINA ADELA LOGHIN, FELICIA DHOPLE, VISHNU MUKUND HAMMER, ELKE |
author_facet | ILIES, MARIA IUGA, CRISTINA ADELA LOGHIN, FELICIA DHOPLE, VISHNU MUKUND HAMMER, ELKE |
author_sort | ILIES, MARIA |
collection | PubMed |
description | BACKGROUND AND AIMS: Proteome-based biomarker studies are targeting proteins that could serve as diagnostic, prognosis, and prediction molecules. In the clinical routine, immunoassays are currently used for the absolute quantification of such biomarkers, with the major limitation that only one molecule can be targeted per assay. The aim of our study was to test a mass spectrometry based absolute quantification method for the verification of plasma protein sets which might serve as reliable biomarker panels for the clinical practice. METHODS: Six EDTA plasma samples were analyzed after tryptic digestion using a high throughput data independent acquisition nano-LC Q-TOF UDMS(E) proteomics approach. Synthetic Escherichia coli standard peptides were spiked in each sample for the absolute quantification. Data analysis was performed using ProgenesisQI v2.0 software (Waters Corporation). RESULTS: Our method ensured absolute quantification of 242 non redundant plasma proteins in a single run analysis. The dynamic range covered was 105. 86% were represented by classical plasma proteins. The overall median coefficient of variation was 0.36, while a set of 63 proteins was found to be highly stable. Absolute protein concentrations strongly correlated with values reviewed in the literature. CONCLUSIONS: Nano-LC Q-TOF UDMS(E) proteomic analysis can be used for a simple and rapid determination of absolute amounts of plasma proteins. A large number of plasma proteins could be analyzed, while a wide dynamic range was covered with low coefficient of variation at protein level. The method proved to be a reliable tool for the quantification of protein panel for biomarker verification in the clinical practice. |
format | Online Article Text |
id | pubmed-5683834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Iuliu Hatieganu University of Medicine and Pharmacy |
record_format | MEDLINE/PubMed |
spelling | pubmed-56838342017-11-17 Plasma protein absolute quantification by nano-LC Q-TOF UDMS(E) for clinical biomarker verification ILIES, MARIA IUGA, CRISTINA ADELA LOGHIN, FELICIA DHOPLE, VISHNU MUKUND HAMMER, ELKE Clujul Med Original Research BACKGROUND AND AIMS: Proteome-based biomarker studies are targeting proteins that could serve as diagnostic, prognosis, and prediction molecules. In the clinical routine, immunoassays are currently used for the absolute quantification of such biomarkers, with the major limitation that only one molecule can be targeted per assay. The aim of our study was to test a mass spectrometry based absolute quantification method for the verification of plasma protein sets which might serve as reliable biomarker panels for the clinical practice. METHODS: Six EDTA plasma samples were analyzed after tryptic digestion using a high throughput data independent acquisition nano-LC Q-TOF UDMS(E) proteomics approach. Synthetic Escherichia coli standard peptides were spiked in each sample for the absolute quantification. Data analysis was performed using ProgenesisQI v2.0 software (Waters Corporation). RESULTS: Our method ensured absolute quantification of 242 non redundant plasma proteins in a single run analysis. The dynamic range covered was 105. 86% were represented by classical plasma proteins. The overall median coefficient of variation was 0.36, while a set of 63 proteins was found to be highly stable. Absolute protein concentrations strongly correlated with values reviewed in the literature. CONCLUSIONS: Nano-LC Q-TOF UDMS(E) proteomic analysis can be used for a simple and rapid determination of absolute amounts of plasma proteins. A large number of plasma proteins could be analyzed, while a wide dynamic range was covered with low coefficient of variation at protein level. The method proved to be a reliable tool for the quantification of protein panel for biomarker verification in the clinical practice. Iuliu Hatieganu University of Medicine and Pharmacy 2017 2017-10-20 /pmc/articles/PMC5683834/ /pubmed/29151793 http://dx.doi.org/10.15386/cjmed-880 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License |
spellingShingle | Original Research ILIES, MARIA IUGA, CRISTINA ADELA LOGHIN, FELICIA DHOPLE, VISHNU MUKUND HAMMER, ELKE Plasma protein absolute quantification by nano-LC Q-TOF UDMS(E) for clinical biomarker verification |
title | Plasma protein absolute quantification by nano-LC Q-TOF UDMS(E) for clinical biomarker verification |
title_full | Plasma protein absolute quantification by nano-LC Q-TOF UDMS(E) for clinical biomarker verification |
title_fullStr | Plasma protein absolute quantification by nano-LC Q-TOF UDMS(E) for clinical biomarker verification |
title_full_unstemmed | Plasma protein absolute quantification by nano-LC Q-TOF UDMS(E) for clinical biomarker verification |
title_short | Plasma protein absolute quantification by nano-LC Q-TOF UDMS(E) for clinical biomarker verification |
title_sort | plasma protein absolute quantification by nano-lc q-tof udms(e) for clinical biomarker verification |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683834/ https://www.ncbi.nlm.nih.gov/pubmed/29151793 http://dx.doi.org/10.15386/cjmed-880 |
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